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Senior Analytics SpecialistRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). Roles and Responsibilities:<ul><li>You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed</li><li>You would have/develop a strong understanding of the business &amp; product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML</li><li>You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view</li><li>You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features</li><li>You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms</li><li>You will develop compelling stories with business insights, focusing on strategic goals of the organization</li><li>You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness</li><li>Set high standards in project management; own scope and timelines for the team</li><li>Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)</li><li>Mentoring analysts within the team to deliver effectively, incubating new ideas.</li></ul>Mandatory Qualifications:<ul><li>Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field</li><li>4+ years of high quality hands-on experience in analytics and data science</li><li>Hands on experience in SQL and Python</li><li>Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.</li><li>Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.</li><li>Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction</li><li>Work experience in Consumer-tech organizations would be a plus</li><li>Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities</li><li>Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning</li></ul>Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

Razorpay Software Pvt Ltd

Analyst

Data EngineerJob Description﻿﻿Years of Experience:5 to 8Years ﻿Duration: 3 Months and further extendable﻿Working shift timing: 7:30 am - 4:30 pm IST Selection Process: 2 rounds ﻿<ul><li>Experience in ETL tools, data warehouse design, data modeling, and visualization</li><li>Proficient knowledge of SQL and Relational Database: able to write, execute, and interpret queries</li><li>Hands-on experience with Python scripting for data analysis</li><li>Familiar with AWS stack, especially ETL/Data services such as Glue, Redshift, DMS</li><li>and workflow management platforms such as Airflow</li><li>Familiar with BI reporting tools such as PowerBI, Data Studio etc.</li></ul><h4>Experience Level</h4>Entry Level

Pradeepit Global Consulting Private Limited

Data Engineer

Insights Specialist <h4>Minimum qualifications:</h4><ul><li>Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. </li><li>Experience in either system design or reading code (e.g., Java, C++, Python, etc.).</li><li>Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. </li><li>Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g. Python).</li></ul> <h4>Preferred qualifications:</h4><ul><li>Experience in a client facing data analytics role or in presenting data-based narratives to executive stakeholders and partners.</li><li>Experience working with investigative and narrative tools such as spreadsheets, presentation-software, tableau, data-studio, etc.</li><li>Experience working with Google’s tools and datasets.</li><li>Knowledge of R, Python, database management systems, and SQL Workflow management.</li><li>Ability to multi task and manage conflicting priorities effectively and learn and implement advanced technical and investigative solutions.</li><li>Ability to look into customer business objectives and recommend insights based on market and customer data.</li></ul><h4>About the job</h4>As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our <a>video</a>.<h4>Responsibilities</h4><ul><li>Work with Sales teams and partners (Analytical Consultants and Leads, Industry Managers) and Engagement Managers (gTech Ads Solutions) to develop compelling, integrated, research-based insights and narratives to enhance Google's ability to promote relevant media solutions to clients.</li><li>Analyze large and complex datasets, convert them into strategic insights and compelling storylines in order to drive customer business objectives and enable client decisions.</li><li>Utilize insight and measurement tools to add relevant, trustworthy data to customer presentations and proposals to enable sales of Google Media Solutions.</li><li>Make complex data sets and concepts simple and easy to digest.</li><li>Develop and maintain investigative solutions that can be leveraged across verticals and markets.</li></ul>

Google India Pvt Ltd

Marketing Research Consultant

Advanced Analytics AnalystOrganization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.Job Title: Advanced Analytics AnalystLocation: BangaloreBusiness &amp; Team: Business Bank (BB) offer a wide range of services and solutions to our small to medium, enterprise customers and our regional and agribusiness customers. We also take care of our personal and institutional online trading customers.Impact &amp; contribution:Your business acumen and technical knowhow will be the crucial mechanism to bring the vision of our stakeholders to reality. You will be working with both our business and technical stakeholders to understand and challenge their goals, advise on approach and ensure the most optimal solution is implemented for different projects.. Responsibilities:<ul><li>Gather and clean data from various sources to ensure it is ready for analysis. Utilise tools such as SQL, python or R and AI virtual assistants for data manipulation.</li><li>Perform exploratory data analysis to uncover patterns, correlations and trends. Apply statistical methods and machine learning techniques to analyse data and generate insights. Develop predictive models to support business forecasting and decision making.</li><li>Leveraging AI virtual assistants to create dashboards and reports using visualisation tools like Tableau, Power BI or similar platforms. Present findings to stakeholders in a clear and concise manner.</li><li>Work closely with cross functional teams including marketing, finance, risk, and product development to understand their data needs. Communicate complex analytical concepts to non-technical stakeholders.</li><li>Stays up to date with the latest trends and technologies in data analytics and machine learning. Identifies opportunities for process improvements and automation.</li></ul>Essential Skills:<ul><li>3+ years of experience in data science, analytics, or related fields.</li><li>Strong programming skills in Python and SQL.</li><li>Experience with machine learning techniques and model deployment.</li><li>Familiarity with generative AI concepts and tools.</li><li>Proficiency in data visualization tools such as Tableau, Power BI.</li><li>Experience with cloud platforms and data engineering concepts.</li><li>Strong problem-solving and communication skills. </li></ul>Education Qualification:<ul><li>Bachelor’s degree in engineering in Computer Science/Information Technology.</li></ul>If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 18/09/2025<h4>Experience Level</h4>Mid Level

Commonwealth Bank of Australia

Data Scientist 3At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.In the OCI AI Science org, we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist III, you will play a key role in developing large-scale datasets leveraging Machine learning and Generative AI to train Generative AI models. You will work closely with scientists, engineers, and product teams to design benchmarking frameworks, ensure the highest standards of model and data quality.  Key Responsibilities:<ul><li>Design and develop large-scale datasets to power generative AI models in multimodal domains (e.g., text, vision, speech), with a focus on synthetic data creation.</li><li>Build robust pipelines and tooling for data acquisition, cleaning, transformation, and quality assurance to support model training and evaluation.</li><li>Research, implement, and adapt cutting-edge techniques (e.g., fine-tuning, RLHF, data augmentation) to align generative models with domain-specific needs.</li><li>Curate and annotate datasets, ensuring diversity, representativeness, and compliance with responsible AI practices. </li><li>Evaluate open-source and research models, integrating best practices into data generation workflows. </li><li>Collaborate with engineering teams to ensure datasets and synthetic data pipelines are scalable, reliable, and production ready.</li><li>Develop metrics and benchmarking frameworks to assess data quality, model alignment, and downstream impact across modalities.</li><li>Partner cross-functionally with product, research, and infrastructure teams to drive innovation in data preparation and generative AI applications.</li></ul>Qualification and Skills:<ul><li>Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field with 3+ years of industry experience.</li><li>Proficiency in Python and solid foundation in applied ML methods.</li><li>Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production. </li><li>Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation.</li><li>Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.</li><li>Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with multimodal models a bonus.</li><li>Proven track record of delivering scalable, data-centric ML solutions. </li></ul>Career Level - IC3As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Mid Level

Oracle India Private Limited

Data Scientist

Advanced Analytics ConsultantWe are seeking a dynamic and results-driven professional to join our Advanced Analytics Team as an Individual Contributor. This role involves leading and supporting a variety of commercial analytics projects, including Marketing Mix Modeling, Customer and Brand Performance analytics, Forecasting, Segmentation and Targeting, Promotional ROI Analysis, Resource and Price Optimization, Physician/Patient ProfilingYou will collaborate with internal stakeholders across global Business Units—primarily in Europe and the US—and engage directly with external clients to understand business needs, define project objectives, and deliver actionable insights. The role demands strong analytical capabilities, excellent communication skills, and the ability to work independently with full ownership of deliverables and timelines.Key Responsibilities:<ul><li>Execute end-to-end analytics projects with minimal supervision</li><li>Translate complex data into clear business recommendations</li><li>Present findings to stakeholders in a business-oriented manner</li><li>Support solution development for diverse business challenges</li><li>Maintain thorough documentation of project activities</li><li>Communicate risks and project outcomes effectively</li><li>Demonstrate agility in learning new technologies and domain knowledge</li></ul>Qualifications &amp; Skills:<ul><li>Bachelor’s or Master’s degree in Economics, Statistics, Mathematics, Data Mining, Operations Research, or related fields OR B.Tech / MBA with relevant analytics experience</li><li>4–6 years of hands-on experience in analytics</li><li>Proficiency in tools such as R, Python, SQL, SAS, and MS Excel/PowerPoint</li><li>Experience with advanced techniques: regression, clustering, decision trees, time series, PCA, SVM, GBT, CNN, RNN, and optimization models</li><li>Strong organizational and problem-solving skills</li><li>Excellent verbal and written communication skills</li></ul>Preferred:<ul><li>Familiarity with pharmaceutical domain and healthcare market dynamics</li><li>Self-motivated, flexible, and capable of working independently</li></ul>IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at <a href="https://jobs.iqvia.com/" rel="noopener noreferrer" target="_blank">https://jobs.iqvia.com</a><h4>Experience Level</h4>Mid Level

IQVIA

Business Intelligence Support Specialist

Data Scientist 4At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.In the OCI AI Science org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist IV, you will lead the development of large-scale datasets and leverage machine learning and generative AI to advance Generative AI models. You will drive the design of benchmarking frameworks, define best practices for data quality and fairness, and partner with scientists, engineers, and product leaders to shape the org’s data strategy.  Key Responsibilities: <ul><li>Lead the design, development, and scaling of large, high-quality datasets to advance generative AI models in multimodal domains (e.g., text, vision, speech). </li><li>Define data standards and best practices for acquisition, cleaning, augmentation, annotation, and evaluation to ensure fairness, diversity, and representativeness. </li><li>Guide the integration of cutting-edge techniques (e.g., fine-tuning, RLHF, domain adaptation) into data generation and model alignment pipelines.</li><li>Provide technical leadership in building scalable, reliable data pipelines and synthetic data platforms for production environments. </li><li>Evaluate and operationalize research innovations, shaping how data preparation and generative AI methods transition into production-ready solutions.</li><li>Partner with research, engineering, and product leaders to define long-term data strategy and accelerate the adoption of generative AI solutions at scale.</li><li>Mentor and provide thought leadership to scientists and engineers, fostering a culture of data excellence and innovation</li></ul>Qualifications and Skills:<ul><li>Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field with 6+ years of industry experience. </li><li>Proficiency in Python and solid foundation in applied ML methods. </li><li>Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production.</li><li>Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation. </li><li>Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.</li><li>Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with Multimodal models a bonus. </li><li>Familiarity with advanced techniques (e.g., RLHF, domain adaptation, data augmentation) and their application in generative AI workflows. </li><li>Proven track record of delivering scalable, data-centric ML solutions.</li><li>Excellent communication and leadership skills, with experience mentoring junior scientists/engineers and presenting technical strategies to senior stakeholders. </li></ul>Career Level - IC4As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Senior Level

Oracle Cloud Infrastructure (OCI) - Principal Member of Technical Staff/Solutions Architect - Product Development – Gen AI and AI Solutions EngineeringOracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Solutions team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning and Generative AI technologies, aimed at addressing complex global challenges.Join our OCI Gen-AI Solutions team to build cutting-edge AI applications that tackle global challenges. We’re seeking an experienced Principal Machine Learning Engineer (IC4) to design, develop, and deploy customized Generative AI solutions for strategic customers focusing on Agentic solutions and Retrieval Augmented Generation (RAG). You’ll work closely with applied scientists and product managers to turn innovation into real-world impact.In this role, you will:<ul><li>Design, build, and deploy cutting-edge machine learning and generative AI solutions, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.</li><li>Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.</li><li>Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.</li><li>Ensure ethical and responsible AI practices in all solutions.</li></ul>We’re looking for a Principal Machine Learning Engineer with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.As part of the OCI Gen AI Solutions Engineering for strategic customers team, you will be responsible for developing innovative Agentic workflows and solutions for our strategic customers. As a Principal member of the technical staff, you'll be part of the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers.<ul><li>Work directly with key customers and accompany them on their Gen AI journey – understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.</li><li>Design and implement agentic workflows using diverse frameworks, incorporating prompt engineering to optimize performance.</li><li>You will dive deep into model structure to optimize model performance and scalability. </li><li>You will build state of art solutions with brand new technologies in this fast-evolving area. </li><li>You will configure large scale OpenSearch clusters, setting up data ingestion pipelines to get the data into the OpenSearch.</li><li>You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.</li><li>Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.</li><li>Be an enthusiastic, self-motivated, and a great collaborator.</li><li>Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.</li></ul>Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.</li><li>Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.</li><li>Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).</li><li>Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.</li><li>Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.</li><li>Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex).</li><li>Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).</li><li>Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.</li><li>Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.</li><li>Collaborative mindset with experience working closely with product managers, engineers, and customers.</li><li>Ability to mentor and guide junior data scientists or ML engineers.</li><li>Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.</li></ul>Career Level - IC4As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Senior Level

Technical Support Manager

Data Scientist (Agentic AI & Gen AI Automation Focus)Job Title: Data Scientist (Agentic AI &amp; Gen AI Automation Focus)<ul><li>Work Location: Manyata Tech Park, Bangalore, India</li><li>Work Schedule: Three days on-site, two days remote (3/2)</li><li>Work hours: 9 am to 6 pm IST or 2 pm to 11 pm IST basis business needs</li><li>Career Level: D1 – Individual Contributor position.</li><li>Experience: 6-8 years of experience. </li></ul>Introduction to role: Are you ready to make a difference in the world of biopharmaceuticals? At AstraZeneca, we are a global, science-led company dedicated to discovering, developing, and commercializing prescription medicines for some of the most serious diseases. A Data Scientist position involves spearheading innovation by addressing complex scientific and business challenges with solutions based on information. Your expertise will accelerate medicine discovery and delivery, blending statistical prowess, coding skills, and domain knowledge to unlock insights from extensive datasets. Collaborate across multidisciplinary teams and support functions like commercial analytics and digital transformation, all while driving omnichannel operations for Global Business Services and Global Commercial Services. Accountabilities: • Design, develop, and implement predictive models and machine learning algorithms, including agentic AI systems capable of autonomous reasoning and workflow orchestration. • Leverage generative AI solutions to automate data science workflows, enhance productivity, and deliver novel insights across diverse data sources (clinical, biological, operational, real-world). • Evaluate, clean, merge, and transform complex datasets, ensuring readiness for advanced analytics and automation. • Build and deploy analytical workflows using Gen AI tools and agentic AI frameworks (such as LangChain, CrewAI, AutoGen), ensuring reproducibility and scalability. • Document AI system decisions and data processes for transparency, auditability, and scalability. • Visualize data and model outputs through dashboards, reports, and presentations customized for diverse collaborators. • Collaborate with data engineers to operationalize, monitor, and continuously optimize both traditional and agentic/gen AI models in production. • Keep up with advancements in agentic AI, Gen AI architectures, encouraging innovation when applicable. • Communicate findings and recommendations clearly with collaborators, translating complex AI and automation concepts into actionable next steps. • Ensure all solutions align with data privacy, ethical, legal, and regulatory standards. • Mentor junior team members and contribute to a collaborative technical team culture. Essential Skills/Experience: • Bachelor’s or Master’s in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, Bioinformatics, or related subject area. • Advanced programming skills in Python (preferred), including hands-on experience with agentic and Gen AI frameworks (e.g., LangChain, CrewAI, AutoGen, Hugging Face, OpenAI). • Solid background in machine learning and generative modeling techniques: supervised/unsupervised learning, large language models, prompt engineering, workflow automation, model validation. • Practical experience in developing automation that includes autonomous agents for tasks such as data management, report generation, decision processes, and content development. • Proficiency in data wrangling, exploratory analysis, and visualization (Tableau, Power BI, matplotlib, seaborn), and experience with SQL/NoSQL databases. • Knowledge of cloud platforms (Azure, AWS, GCP) and scalable data tools (Spark, Databricks, Hadoop), with exposure to Gen AI service deployment. • Exceptional communication skills for engaging technical and non-technical audiences. • Experience with healthcare, pharma, or life sciences data is a strong advantage.When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.AstraZeneca offers an environment where diverse cultures and perspectives come together to create a sense of belonging. Here you'll find opportunities to learn and grow alongside a team committed to transforming processes through simplification and automation. Our innovative approach ensures that data is at the heart of everything we do. As part of our journey of growth and evolution, you'll contribute to making AstraZeneca more agile and efficient while impacting society positively.Ready to take the next step? Apply now to join our dynamic team!Date Posted02-Sept-2025Closing Date08-Sept-2025AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Astrazeneca India Private Limited

Lead Analytics SpecialistRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). The Role:Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts.Roles and Responsibilities:<ul><li>You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed</li><li>You would have/develop a strong understanding of the business &amp; product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML</li><li>You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view</li><li>You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features</li><li>You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms</li><li>You will develop compelling stories with business insights, focusing on strategic goals of the organization</li><li>You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness</li><li>Set high standards in project management; own scope and timelines for the team</li><li>Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)</li><li>Mentoring analysts within the team to deliver effectively, incubating new ideas.</li></ul>Mandatory Qualifications:<ul><li>Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field</li><li>5-7 years of high quality hands-on experience in analytics and data science</li><li>Hands on experience in SQL and Python</li><li>Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.</li><li>Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.</li><li>Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction</li><li>Work experience in Consumer-tech organizations would be a plus</li><li>Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities</li><li>Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning</li></ul>Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

Lead Generation Specialist

Sr Data Scientist - Identity and Authentication RiskThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:•	Understand users behind accounts. •	Connect real-world assets to identities to build trust. •	Use data to limit fraud scalability and enable legitimate payment volume.Job Description:Essential Responsibilities: <ul><li>Lead the development and implementation of advanced data science models.</li><li>Collaborate with stakeholders to understand requirements.</li><li>Drive best practices in data science.</li><li>Ensure data quality and integrity in all processes.</li><li>Mentor and guide junior data scientists.</li><li>Stay updated with the latest trends in data science.</li></ul>Minimum Qualifications:<ul><li>Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.</li></ul>Preferred Qualification:<ul><li>Technical Skills:<ul><li>Strong SQL proficiency is mandatory.</li><li>Experience with Excel/statistical software.</li><li>Additional skills are a plus: Java, C/C++, Perl, Python, UNIX, Hadoop, R.</li></ul></li><li>Analytical Skills: Ability to lead projects independently, analyze loss trends, and create effective risk solutions.</li><li>Soft Skills: Excellent written/verbal communication, organizational skills, high emotional intelligence, creative problem-solving, and a proactive attitude.</li></ul>Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Senior Level

Paypal India Pvt Ltd

Senior Director - RNA<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>About the Role:We are seeking an experienced and visionary Sr. Director – Analytics to lead our analytics strategy and execution, focusing on driving value for Hi-Tech Professional Services and Loyalty accounts. This leadership role is central to shaping our data-driven decision-making culture, enabling actionable insights, and delivering measurable impact across client engagements.As a senior leader, you will oversee advanced analytics initiatives, build high-performing teams, and partner closely with business stakeholders to develop innovative solutions that enhance customer engagement, operational efficiency, and business growth.Key Responsibilities:Lead the development and execution of analytics strategies for Hi-Tech Professional Services and Loyalty programs, ensuring alignment with business objectives.Build and manage a high-performing analytics team, fostering a culture of curiosity, innovation, and continuous learning.Collaborate closely with business leaders, account teams, and clients to understand objectives and deliver actionable insights.Design and oversee delivery of advanced analytics solutions, including predictive modeling, customer segmentation, churn analysis, and personalization strategies.Leverage data visualization tools to create intuitive dashboards and storytelling outputs for executive and operational consumption.Drive the operationalization of analytics insights into client workflows, maximizing adoption and business impact.Establish governance frameworks for data quality, security, and compliance across all analytics initiatives.Stay ahead of industry trends, emerging technologies, and best practices to continuously enhance our analytics capabilities.Manage vendor and partner relationships to bring in cutting-edge tools and solutions.Present findings, insights, and recommendations to C-level executives and client stakeholders in a clear and compelling manner.Key Requirements:15+ years of experience in analytics leadership roles, with demonstrated success in managing large, complex analytics programs.Proven expertise in Hi-Tech Professional Services environments and Loyalty account analytics.Strong understanding of customer lifecycle analytics, loyalty metrics, customer segmentation, and personalization at scale.Proficiency in advanced analytics techniques including predictive modeling, statistical analysis, and data mining.Hands-on experience with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI, Google Analytics, Adobe Analytics).Experience with cloud-based data and analytics environments (e.g., AWS, Azure, GCP).Excellent leadership and people management skills, with experience growing and mentoring diverse teams.Exceptional communication and storytelling abilities, with a track record of influencing senior stakeholders.Bachelor's or Master’s degree in Data Science, Statistics, Business Analytics, or a related field. Advanced certifications are a plus.What We Offer:Leadership role with high visibility and strategic influence.Opportunity to shape the analytics roadmap for marquee accounts.Collaborative and high-growth environment.Competitive compensation and benefits package.<h4>Qualifications</h4>Prior experience delivering analytics solutions for global clients in the Hi-Tech sector.Familiarity with AI/ML applications in customer engagement and loyalty optimization.Experience in Agile environments and cross-functional collaboration.Ability to manage multi-million-dollar programs and deliver business impact at scale<h4>Experience Level</h4>Executive Level

WNS Global Services Pvt Ltd

Senior Business Analyst

Data Scientist IIMicrosoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  The Business &amp; Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.   We are looking for a AI Applied Scientist 2 to join our team!   This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient, scalable and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in Microsoft CES Team. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.  Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  <h4>Responsibilities</h4>Role Summary As an AI Applied Scientist 2 for CXA, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.    You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences. AI Mission and Impact We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes. We are looking for an AI Applied Scientist 2 to join our team    This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  Responsibilities Bringing the State of the Art to Products <ul><li>Build collaborative relationships with product and business groups to deliver AI-driven impact </li><li>Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques. </li><li>Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis. </li><li>Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.  Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.  </li><li>Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts. </li></ul>Leveraging Research in real-world problems <ul><li>Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact. </li><li>Share insights on industry trends and applied technologies with engineering and product teams. </li><li>Formulate strategic plans that integrate state-of-the-art research to meet business goals. </li></ul>Documentation <ul><li>Maintain clear documentation of experiments, results, and methodologies. </li><li>Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing  </li></ul>Ethics, Privacy and Security <ul><li>Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns—to ensure equitable and responsible outcomes. </li><li>Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring. </li><li>Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.  </li></ul>Specialty Responsibilities <ul><li>Design, develop, and integrate generative AI solutions using foundation models and more. </li><li>Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML,  and optimization techniques to adapt out-of-the-box solutions to particular business problems </li><li>Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps. </li><li>Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics </li><li>Address scalability and performance issues using large-scale computing frameworks. </li><li>Monitor model behavior, guide product monitoring and alerting,  and adapt to changes in data streams. </li></ul><h4>Qualifications</h4>Required Qualifications <ul><li aria-setsize="-1">Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master’s degree OR PHD AND 3+ years of experience working with machine learning libraries to solve real world data science problems  </li></ul> Other Requirements: <ul><li aria-setsize="-1">Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:  </li><li aria-setsize="-1">Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. </li></ul>Preferred Qualifications: <ul><li aria-setsize="-1">Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines. </li></ul><ul><li aria-setsize="-1">Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow) </li></ul><ul><li aria-setsize="-1">1+ years of experience publishing in peer-reviewed venues or filing patents </li></ul><ul><li aria-setsize="-1">Experience presenting at conferences or industry events </li></ul><ul><li aria-setsize="-1">1+ years of experience conducting research in academic or industry settings </li></ul><ul><li aria-setsize="-1">Experience in developing and deploying live production systems </li></ul><ul><li aria-setsize="-1">Experience in working with Generative AI models and ML stacks </li></ul><ul><li aria-setsize="-1">Experience across the product lifecycle from ideation to shipping </li></ul>  Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the <a href="https://careers.microsoft.com/us/en/accommodationrequest" rel="noopener" target="_blank">Accommodation request form</a>. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.<h4>Experience Level</h4>Mid Level

Microsoft Corporation India Pvt Ltd.

Senior Associate Data Analytics L2 The Senior Associate Data Analytics you’ll be thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. you’ll be a lead in developing and driving our team and our business to get the most out of data. You’ll push thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. The ideal applicants will be eager to help on a variety of projects and be continuously&nbsp;looking to grow their skills&nbsp;Your Impact:<ul><li>Delivering analytics and optimization solutions</li><li>Lead business requirement conversations with external partners to understand their business requirements and articulate those into measurable KPIs.</li><li>Creating experiences within optimization tools or connecting with CRM developed experiences</li><li>Designing end-to-end analytics solutions to convert requirements to Solution Design Reference (SDR), define data layer and tagging guides for analytics and marketing tools</li><li>Creating and maintaining Adobe Analytics JavaScript tags and plugins and be able to validate and debug using relevant debugging tools.</li><li>Understanding of Adobe Marketing stack and how various tools work together to build data driven businesses</li></ul> QualificationsYour Skills &amp; Experience:<ul><li>Minimum 3 years of experience in Analytics implementation</li><li>Hands-on experience with Adobe analytics, AT&amp;T, and optimizes.</li><li>Working knowledge of Adobe Launch.</li><li>Strong experience in at least the programming languages Java Scripts, HTML, R, and Python Hands-on working knowledge of Adobe (AAM) Salesforce (Krux)</li><li>Well-versed and working knowledge with Adobe Report builder, Workspace, GA console</li><li>Testing tool experience on Omnibug, Httpfox</li><li>Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position</li></ul> Set Yourself Apart With:<ul><li>Good knowledge of web trends and core metrics</li><li>Knowledge of tag management tools like Tealium/Ensighten</li><li>Knowledge of BI Tools Tableau, Power BI, Google Data Studio, Qlikview, Datorama</li><li>Cloud knowledge on GCP/Azure/AWS</li></ul>

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